Titlebook: Big Data in Computational Social Science and Humanities; Shu-Heng Chen Book 2018 Springer International Publishing AG, part of Springer Na

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S. N. Sivanandam,S. Sumathi,S. N. Deeparmation diffusion in financial markets since the physical cost of participation has been reduced and interactions among investors have become more efficient. In this chapter, we provide an overview of the current state of the art related to the utilization of big data in financial markets. To start

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Fuzzy Logic Projects with Matlab,ipedia) but also a platform where people share their opinions, ideas, and sentiments with friends (e.g., social network sites). Therefore, more and more psychologists are interested in how the Web can help us investigate human mind and behaviors. In this chapter, I review different approaches of psy

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Reference Systems in GNSS Geodesyy forecasting and analyzing phenomena within social media generated big data. The approach demands interdisciplinary teamwork between the data sciences and other disciplines. The aforementioned is still an emerging discourse, thereby demanding the ongoing devotion of researchers in allied discipline

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Linear differential difference equations,in a framework of digital humanities that is driven by a hermeneutic concern of understanding textual or symbolic communication. We use R as a Swiss army knife that allows us to plot tables, timelines, maps, and more, hoping to create a wider interest in data exploration endeavors, which despite the